• DocumentCode
    2601693
  • Title

    Analysis of hospital rapid response protocols using simulation

  • Author

    Wang, Shuli ; Holloway, L.E. ; DePriest, Paul ; Swartz, Colleen H.

  • Author_Institution
    Daniel J. Epstein Dept. of Ind. & Syst. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2012
  • fDate
    20-24 Aug. 2012
  • Firstpage
    315
  • Lastpage
    322
  • Abstract
    Many hospitals in the United States are implementing a rapid response system (RRS) within their inpatient units to provide prompt assessment and intervention to the patient´s bedside in an attempt to avoid further clinical deterioration in the non-intensive care unit. In this paper, based on analyzing the rapid response system in the University of Kentucky Chandler Hospital, we present a simulation model with some assumptions to model the patient flow and the clinician´s diagnosis process. Using such a model, we analyze the influences of clinicians´ competence level and the average length of patients´ waiting time on the patient average length of stay and the distributions of the care levels received by patients in the system. Specific recommendations are made based on this study.
  • Keywords
    fibre optic sensors; kinematics; mechanical variables measurement; distorted sensor; dynamic pose identification system; lower extremity; mechanical structure; motion capture; optical fiber sensor; posture identification; principle of kinematics; rotary sensor; signal-mode; two-joint model; Analytical models; Data models; Delay effects; Educational institutions; Hospitals; Mathematical model; Rapid response system; rapid response team; sensitivity analysis; simulation modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2161-8070
  • Print_ISBN
    978-1-4673-0429-0
  • Type

    conf

  • DOI
    10.1109/CoASE.2012.6386403
  • Filename
    6386403